| DASC-PM v1. 1-Ein Vorgehensmodell für Data-Science-Projekte M Schulz, U Neuhaus, J Kaufmann, S Kühnel, EM Alekozai, H Rohde, ... Universitäts-und Landesbibliothek Sachsen-Anhalt, 2022 | 18* | 2022 |
| Deep learning-based automated characterization of crosscut tests for coatings via image segmentation G Zhang, C Schmitz, M Fimmers, C Quix, S Hoseini Journal of Coatings Technology and Research, 1-13, 2022 | 7 | 2022 |
| SEDAR: A Semantic Data Reservoir for Heterogeneous Datasets S Hoseini, A Ali, H Shaker, C Quix Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| Automated defect detection for coatings via height profiles obtained by laser-scanning microscopy S Hoseini, G Zhang, A Jongbloed, C Schmitz, C Quix Machine Learning with Applications 10, 100413, 2022 | 4 | 2022 |
| Bringing it all together–Gemeinschaftlich aktiv lernen am virtuell geteilten Bildschirm in der Hochschule und digital J Kaufmann, S Hoseini, P Quindeau, C Quix, S Ruschin HMD Praxis der Wirtschaftsinformatik 58 (6), 1378, 2021 | 4 | 2021 |
| A survey on semantic data management as intersection of ontology-based data access, semantic modeling and data lakes S Hoseini, J Theissen-Lipp, C Quix Journal of Web Semantics 81, 100819, 2024 | 2 | 2024 |
| DASC-PM v1. 1 A Process Model for Data Science Projects M Schulz, U Neuhaus, J Kaufmann, S Kühnel, EM Alekozai, H Rohde, ... Universitäts-und Landesbibliothek Sachsen-Anhalt, 2022 | 2 | 2022 |
| Towards LLM-augmented Creation of Semantic Models for Dataspaces S Hoseini, A Burgdorf, A Paulus, T Meisen, C Quix, A Pomp The Second International Workshop on Semantics in Dataspaces, co-located …, 2024 | 1 | 2024 |
| Semantic Data Management in Data Lakes S Hoseini, J Theissen-Lipp, C Quix arXiv preprint arXiv:2310.15373, 2023 | 1 | 2023 |
| Where is the science in data science projects? J Kaufmann, S Kühnel, R Theuerkauf, EM Alekosai, S Hoseini, ... Gesellschaft für Informatik, Bonn, 2021 | 1 | 2021 |
| Enhancing Machine Learning Capabilities in Data Lakes with AutoML and LLMs S Hoseini, M Ibbels, C Quix European Conference on Advances in Databases and Information Systems, 184-198, 2024 | | 2024 |
| Coatings Intelligence: Data-driven Automation for Chemistry 4.0 S Hoseini, G Zhang, D Polke, A Surjana, L Wagner, C Schmitz, C Quix 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems …, 2024 | | 2024 |
| DASC-PM v1. 1 Case Studies M Schulz, U Neuhaus, S Kühnel, H Rohde, S Hoseini, R Theuerkauf Universitäts-und Landesbibliothek Sachsen-Anhalt, 2023 | | 2023 |
| Vorschlag eines morphologischen Kastens zur Charakterisierung von Data-Science-Projekten R Theuerkauf, S Daurer, S Hoseini, J Kaufmann, S Kühnel, F Schwade, ... Informatik Spektrum 45 (6), 395-401, 2022 | | 2022 |
| Einsatz einer webbasierten Softwarelösung zur Echtzeitkollaboration in technisch-orientierten Studienfächern P Quindeau, S Hoseini, J Kaufmann, C Quix Gesellschaft für Informatik eV, 2022 | | 2022 |
| Bringing it all together–Active collaborative learning with virtually shared screens on-site and at home J Kaufmann, S Hoseini, P Quindeau, C Quix, S Ruschin HMD Praxis der Wirtschaftsinformatik 58, 1378-1393, 2021 | | 2021 |
| Aufbau eines Data-Science-Teams–„Lessons learned “ P Wicht, A Hausmann, S Hoseini, J Kaufmann Wirtschaftsinformatik & Management 13 (4), 266-275, 2021 | | 2021 |
| Machine Learning with Applications S Hoseini, G Zhang, A Jongbloed, C Schmitz, C Quix | | |
Christoph QuixChristoph Quix is a senior researcher in the Life Science Informatics group at the Fraunhofer在 dbis.rwth-aachen.de 的电子邮件经过验证
